Automated Electronic Record Creation via Relational Database Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems face challenges in creating electronic records quickly and accurately, leading to potential incompleteness or inaccuracy, and require consistency across different versions and types, which can introduce delays and inefficiencies in communication networks.
Innovation Solution
A system that utilizes a relational database management system and linked database tables, accessed by a back-end application server, to automatically create and transmit customized electronic records through pre-determined mapping logic and interactive user interfaces, ensuring faster, more accurate, and flexible record creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual verification and customization processes are used to ensure accuracy, then manufacturing precision is improved, but productivity deteriorates due to delays in record creation
Solution Approach 1:
The system enables self-service automated record creation through template-based generation and automatic data population from source systems. The electronic record creation process performs self-verification through built-in validation rules and consistency checks, eliminating the need for manual verification while maintaining high accuracy standards.
Solution Approach 2:
The system implements preliminary action by pre-defining record templates, validation rules, and data mapping relationships before record creation begins. This preparatory configuration enables rapid automated generation of accurate records without requiring manual intervention during the creation process itself.
2Productivity
If automated processes are used to improve productivity, then speed of record creation is improved, but manufacturing precision deteriorates due to potential loss of verification
Solution Approach 1:
The system implements feedback mechanisms through automatic validation rules that check data integrity, consistency, and compliance with predefined criteria during automated record creation. Error detection and correction feedback loops ensure that automated processes maintain high precision by identifying and resolving issues before record finalization.
Solution Approach 2:
The system uses template-based intermediaries as mediators between source data and final electronic records. These templates act as structured intermediaries that enforce data transformation rules, validation logic, and formatting standards, ensuring that automated population processes maintain accuracy while enabling high-speed generation.
3Manufacturing precision
If consistent formatting and structure are enforced across all records, then manufacturing precision is improved, but device complexity increases due to rigid requirements
Solution Approach 1:
The system implements universality through reusable record templates that can serve multiple purposes and adapt to different record types through parameter configuration. A single template framework handles diverse record formats by adjusting data mapping and validation rules, maintaining consistency without requiring separate complex systems for each record type.
Solution Approach 2:
The system uses parameter changes to maintain format consistency while accommodating different record types. Templates define structural parameters and validation rules that can be dynamically adjusted based on the specific record being created, allowing consistent formatting requirements to be met through configurable parameters rather than rigid hard-coded structures.
4Adaptability or versatility
If manual customization is allowed to improve adaptability, then ease of operation is improved, but productivity deteriorates due to time-consuming manual processes
Solution Approach 1:
The system implements dynamics by making templates and data sources configurable and adaptable without requiring manual customization during record creation. Users can dynamically adjust template parameters, data mapping relationships, and validation rules to accommodate different record requirements, enabling both high adaptability and rapid automated generation.
Solution Approach 2:
The system performs preliminary action by pre-configuring templates, data sources, and transformation rules that can be adapted to different scenarios. This advance preparation enables flexible customization through simple parameter adjustments rather than time-consuming manual processes during actual record creation.
Data Source
AI summary
Mediums, apparatus, computer program code, and means may be provided to customize electronic records associated with a distributed communication network via an automated back-end application computer server. According to some embodiments, a relational database management system database and a plurality of database tables linked to the relational database management system database may be accessed. The back-end application computer server may retrieve electronic record layout information and utilize pre-determined logic associated with the plurality of linked tables, including logic that matches multiple pointers within a single pair of linked tables, to automatically insert accessed data into a customized electronic record in accordance with the electronic record layout information. The customized electronic record may then be transmitted to be rendered via an interactive user interface display.